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논문 기본 정보

자료유형
학술대회자료
저자정보
Soo-Tai Nam (Wonkwang University) Seong-Yoon Shin (Kunsan National University) Chan-Yong Jin (Wonkwang University)
저널정보
한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2019 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.11 No.1
발행연도
2019.6
수록면
394 - 397 (4page)

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Today variety of algorithms using encryption technology has been adopted as methods of unlocking smartphone. It is advancing toward the direction to solve through human biometrics technology which has already succeeded in commercialization. These include finger print recognition, face recognition, and iris recognition. In this study, we selected biometrics recognition technology and pattern recognition and password input methods which are already commercialized as evaluation items. The evaluation items are five algorithms including finger print recognition, face recognition iris recognition, pattern recognition and password input method. Based on these algorithms, AHP (analytic hierarchy process) is used to analyze the preference of smartphone users. Participants in this study were 30 smartphone users. First, the most preferred algorithm priority is as follows. Fingerprint recognition ( .400) was the most preferred priority. Next, pattern recognition ( .237) ranked 2nd in the priority order. Next, the pin number or pin number ( .166) is listed as the 3nd priority. Next, they posted in order of iris recognition and face recognition. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

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Abstract
I. INTRODUCTION
II. RESEARCH METHODS
III. DISCUSSION AND CONCLUSIONS
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UCI(KEPA) : I410-ECN-0101-2019-004-000921069